Instructions to use AnonymousCS/populism_classifier_bsample_152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_152 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_152")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_152") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_152", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c51358623a5aa177c739734797ba0c1d061dc5139fa75f66baf8bdf37bfcbde
- Size of remote file:
- 5.43 kB
- SHA256:
- 5d8b62418e5c5efaa7efee158141d6774b521e85f1ec8860f869e43bf22bb04b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.